The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $300,000 Project Grant to the Georgia Tech Research Corporation (Georgia Tech) to conduct collaborative research on reconfigurable intelligent electromagnetic surfaces using magnetically responsive soft materials. The goal is to develop a new approach to dynamically manipulate electromagnetic waves with a flat aperture, enabling reconfigurable intelligent surfaces (RIS) for 5G and beyond wireless systems in...
This three-year, $750,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will fund research at the University of Michigan to develop novel multifunctional materials and devices for interference-immune broadband wireless systems. Specifically, the grant will support investigating the use of self-biased multiferoic materials and algorithms to learn how network participants use spectrum over...
This $545,961 federal Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) seeks to revolutionize the field of microwave circuit design by developing an advanced inverse design (InvDes) framework. The project aims to create a systematic approach for the inverse design of planar microwave and millimeter wave devices, including filters, splitters, baluns, and antennas, to meet complex performance requirements and fabrication constraints. Key objectives...
This National Science Foundation (NSF) Project Grant award to New York University (NYU) under the Computer and Information Science and Engineering program (CFDA 47.070) aims to develop an advanced software tool that automates the design and optimization of electromagnetic (EM) systems, with a focus on improving the performance of magnetic resonance imaging (MRI) devices. The $1,164,641 award, effective from August 1, 2023 to July 31, 2026, will create a software pipeline that combines geometry...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $260,000 to Michigan State University to develop a novel wearable distributed metasurface antenna array for reliable and secure wireless body area networks. The key research tasks include: Developing a wearable metasurface transmission line to reduce on-body signal path loss and enable energy-efficient, secure communication between body-worn antennas. Investigating a coordinated wearable...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $400,000 over 3 years to the University of California, Berkeley to develop novel intelligent large-scale multi-antenna array architectures operating at 140 GHz. The key products and services to be delivered include: Analytical and behavioral modeling of non-idealities in large scalable antenna arrays Design of reconfigurable D-band (140 GHz) front-ends with performance tuning...
This SBIR Phase I Project Grant awarded by the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $274,769 to Fringe Metrology LLC to develop an optical metrology system capable of rapidly and accurately measuring large antenna dishes up to 18 meters in diameter. The goal is to revolutionize how high-precision antenna dishes for satellite communications and radio astronomy are constructed by addressing a critical bottleneck in producing...
This $200,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop advanced analog circuits and systems for dense, in-situ spectrum monitoring. The key products and services to be delivered include: (1) Ultra-efficient, single-shot analog cross-correlators capable of rapidly computing cross-correlations between input signals and template waveforms. This enables low-latency spectrum sensing...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $450,000 Project Grant to the University of Rochester to develop miniaturized metasurface-based devices for ultrafast optical pulse characterization. This 3-year project, under NSF's Engineering program (CFDA 47.041), aims to advance the field of ultrafast metrology by creating compact and accurate devices for temporally and spatially characterizing ultrafast optical pulses. Specifically, the...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $460,000 Project Grant to The Ohio State University for the period of September 15, 2023 to August 31, 2026. The grant is for a research project titled "HIGH ACCURACY IMAGE RECONSTRUCTION USING MICROWAVE MEASUREMENTS FROM BIO-MATCHED ANTENNAS AND DEEP LEARNING: A SYNTHESIZED X-RAY COMPUTED TOMOGRAPHY APPROACH." The key objectives are to: 1) develop a deep learning neural network...
The National Science Foundation (NSF) awarded a $450,000 Project Grant under the Engineering program (CFDA 47.041) to the Regents of the University of Michigan to develop a groundbreaking broadband probe-based RF and microwave measurement system. This novel technology enables highly localized, non-invasive characterization of the electromagnetic response of receiving systems, representing a significant advancement in electromagnetic measurement capabilities. The proposed probe can precisely measure antenna radiation patterns, identify defects in phased arrays and MIMO systems, and thoroughly analyze EMI/EMC in microwave integrated circuits and systems-on-chip, among other applications. By strategically maneuvering the localized probe across a target system and recording receiver output, the system's electromagnetic Green's function can be fully characterized, unlocking new possibilities in electromagnetic research, engineering, and healthcare. This award, spanning from June 2024 to May 2027, will advance the state-of-the-art in electromagnetic measurement technology with the potential for transformative impact across a broad spectrum of fields.